Particle swarm optimization based maximum power point tracking for Partially Shaded Photovoltaic Arrays

Teo, Kenneth Tze Kin (2016) Particle swarm optimization based maximum power point tracking for Partially Shaded Photovoltaic Arrays. International Journal of Simulation: Systems, Science and Technology, 17 (34). 20.1-20.7. ISSN 1473-804X

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Abstract

This paper presents particle swarm optimization based perturb and observe (PSO-P&O) algorithm for maximizing output power of photovoltaic (PV) array under partially shaded conditions (PSC). During PSC, the P-V characteristic of PV will become more complex with multiple maximum power points (MPP). Most of the conventional maximum power point tracking (MPPT) algorithms, such as P&O, will be trapped at the local MPP and hence limiting the maximum power generation. As such, investigation on PSO-P&O algorithm is carried out to maximize the PV generated power principally under PSC operation. The performances of conventional P&O and the proposed PSO-P&O algorithms are investigated particularly on the transient and steady state responses under various shaded conditions. The simulation results show the developed PSO- P&O algorithm is able to facilitate the PV array to reach the global MPP and assist the PV array to produce more stable output power compared to the conventional P&O algorithm.

Item Type: Article
Uncontrolled Keywords: photovoltaic array , partially shaded conditions , particle swarm optimization , perturb and observe , MPP
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: FACULTY > Faculty of Engineering
Depositing User: Noraini
Date Deposited: 17 Jul 2018 05:59
Last Modified: 17 Jul 2018 05:59
URI: http://eprints.ums.edu.my/id/eprint/20504

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